Glue is an AI-assisted team chat product built around named, persistent threads. It is aimed at teams that want conversations, decisions, and follow-up work to stay organized instead of disappearing into long message streams.
Threads are the core of the system. Work lives in a named thread, which can be found later like email, and finished threads can be closed. The product says threads keep work organized, context builds over time, and decisions do not get lost. Glue also brings agents into the conversation: users can mention @Glue or @Cursor in a thread, and the agents can summarize discussions, pull context, draft replies, find information, and generate ideas. The flow described on the site is to start a thread, work with teammates and agents, and then mark threads done to keep the team moving.
Glue supports switching from other work chat tools by importing Slack history. It also offers playbooks and a hands-on onboarding process, with guided setup available for teams that want it. The FAQ says most teams are up and running in a day. Access is available through the web site, which includes links to the app, docs, pricing, and sign in/sign up pages.
Pricing starts with a full-featured free trial that does not require a credit card. When the trial ends, Glue works with teams to find the right plan, and nothing disappears during that decision period. The service is SOC 2 certified, supports SSO through major identity providers including Google and Okta, and says Glue AI works within the workspace; data is not used to train external models or shared outside the organization.
Glue is a Team chat & messaging project. Keeping team conversations organized and actionable by replacing endless chat streams with structured, persistent threads. Glue is a B2B product aimed at teams seeking organized, AI-assisted collaboration. Glue follows a freemium model. Glue is available on the web.
It is developed by Glue, and it first shipped in 2026. Key capabilities include threaded chat, AI agents, and contextual threads.
Summary written by a language model from the project’s public pages.
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